Senior Data Analytics Engineer

Reposted 16 Days Ago
San Francisco, CA, USA
In-Office
Senior level
Artificial Intelligence • Information Technology
The Role
Establish and own the data analytics foundation for a GPU marketplace: define metrics, build data pipelines and dashboards, ensure data correctness, and deliver actionable insights to leadership.
Summary Generated by Built In
Who We Are

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.

As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.

About the Role

We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights.

As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands.

Who You Are
  • 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership

  • Strong SQL and Python scripting skills for data manipulation and analysis

  • Expert at data debugging and ensuring data correctness with a proactive approach to data health

  • Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar)

  • Exceptional attention to detail with consistent review and improvement of data systems

  • Strong communication and collaboration skills with the ability to articulate complex data insights to leadership

  • Experience working with highly technical teams and understanding technical business models

  • Proactive in seeking clarification when needed and comfortable navigating ambiguity

  • Ability to accept direct feedback and continuously improve

Preferred Qualifications
  • Experience in GPU compute infrastructure or cloud computing space

  • Background in AI infrastructure or related technical domains

  • Data engineering skills or familiarity with data pipeline development

  • Experience at high-growth, early stage, technical companies

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Skills Required

  • 4-8 years of experience in data analytics, preferably at a technical startup with significant ownership
  • Strong SQL skills for data manipulation and analysis
  • Strong Python scripting skills for data manipulation and analysis
  • Expertise in data debugging and ensuring data correctness, proactive about data health
  • Experience with dashboard development and BI tools (Hex, Metabase, PostHog, or similar)
  • Exceptional attention to detail with consistent review and improvement of data systems
  • Strong communication and collaboration skills; able to articulate complex data insights to leadership
  • Experience working with highly technical teams and understanding technical business models
  • Proactive in seeking clarification and comfortable navigating ambiguity
  • Ability to accept direct feedback and continuously improve
  • Experience in GPU compute infrastructure or cloud computing space
  • Background in AI infrastructure or related technical domains
  • Data engineering skills or familiarity with data pipeline development
  • Experience at high-growth, early-stage technical companies
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The Company
HQ: San Francisco, CA
30 Employees

What We Do

At Hyperbolic, we’re building the leading open-access AI cloud. Access inference and compute at a fraction of the cost, and build AI applications without relying on centralized infrastructures. We invite builders, compute providers, researchers, and individuals to join us on this journey.

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